A body of law is an example of a dynamic corpus of text documents that are jointly maintained by a group of editors who compete and collaborate in complex constellations. Our goal is to develop predictive models for this process, thereby shedding light on ...
ACM / IW3C2 (International World Wide Web Conference Committee)2020
In the Freudian theory of the psychical apparatus, the introduction from the 1920s onward of the second drive dualism appears as a major turning point. The idea of a "death drive," first expressed in Beyond the Pleasure Principle (Freud, 1920), is generall ...
Empirical observations suggest that consumers' propensity towards sharing varies with culture and the individuals' socio-demographic characteristics. In an economy with overlapping generations of heterogeneous consumers, we study optimal dynamic selling by ...
We present a microscopic theory of heat and particle transport of an interacting, low-temperature Bose- Einstein condensate in a quantum point contact.We show that, in contrast to charged, fermionic superconductors, bosonic systems feature tunneling proces ...
We build a dynamic agency model in which the agent controls both current earnings via short-term investment and firm growth via long-term investment. Under the optimal contract, agency conflicts can induce short- and long-term investment levels beyond firs ...
One effect of the COVID-19 crisis has been to require policymakers to go through the various stages of the risk governance process under conditions of high stress and compressed timescales. In this article we use our risk governance framework to outline th ...
EPFL International Risk Governance Council (IRGC)2020
When governments act as owners of state-owned enterprises (SOEs), they are both principal and agent at the same time. The literature on steering SOEs has mainly focused on the government as the principal that must control SOEs. However, the government is a ...
Environmental transport processes are highly coupled with the shape of landscapes.
Modern catchment analysis with high-resolution data and huge computational powers
demand more detailed within-cell metrics for surface evolution modeling. This
dissertation ...
Density, speed and energy efficiency of integrated circuits have been increasing exponentially for the last four decades following Moore's law. However, power and reliability pose several challenges to the future of technology scaling. Approximate computin ...
With ever greater computational resources and more accessible software, deep neural networks have become ubiquitous across industry and academia.
Their remarkable ability to generalize to new samples defies the conventional view, which holds that complex, ...
